3 February 2014 Front Matter: Volume 9017
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 9017, including the Title Page, Copyright Information, Table of Contents, and the Conference Committee listing.
Wong, Kao, Hao, and Chen: Front Matter: Volume 9017

The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted. The publishers are not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from this book:

Author(s), “Title of Paper,” in Visualization and Data Analysis 2014, edited by Pak Chung Wong, David L. Kao, Ming C. Hao, Chaomei Chen, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 9017. Article CID Number (2014)

ISSN: 0277-786X

ISBN: 9780819499349

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Conference Committee

Symposium Chair

  • Sergio R. Goma, Qualcomm Inc. (United States)

Symposium Cochair

  • Sheila S. Hemami, Northeastern University (United States)

Conference Chairs

  • Pak Chung Wong, Pacific Northwest National Laboratory (United States)

  • David L. Kao, NASA Ames Research Center (United States)

  • Ming C. Hao, Hewlett-Packard Laboratories (United States)

  • Chaomei Chen, Drexel University (United States)

Conference Cochairs

  • Christopher G. Healey, North Carolina State University (United States)

  • Mark A. Livingston, U.S. Naval Research Laboratory (United States)

  • Ian Roberts, Pacific Northwest National Laboratory (United States)

  • Thomas Wischgoll, Wright State University (United States)

Conference Program Committee

  • Madjid Allili, Bishop’s University (Canada)

  • Barry G. Becker, Pros (United States)

  • Daniel Cernea, Technische Universität Kaiserslautern (Germany)

  • Remco Chang, Tufts University (United States)

  • Guoning Chen, University of Houston (United States)

  • Yi-Jen Chiang, Polytechnic Institute of New York University (United States)

  • Hank Childs, University of Oregon (United States)

  • Jaegul Choo, Georgia Institute of Technology (United States)

  • Sussan Einakian, The University of Alabama in Huntsville (United States)

  • Christoph Garth, Technische Universität Kaiserslautern (Germany)

  • John Gerth, Stanford University (United States)

  • Matti T. Gröhn, Finnish Institute of Occupational Health (Finland)

  • Andreas Kerren, Linnaeus University (Sweden)

  • Halldor Janetzko, Universität Konstanz (Germany)

  • Ming Jiang, Lawrence Livermore National Laboratory (United States)

  • Alark Joshi, Boise State University (United States)

  • Robert R. Lewis, Washington State University (United States)

  • Guo-Shi Li, Exxon Mobil Corporation (United States)

  • Peter Lindstrom, Lawrence Livermore National Laboratory (United States)

  • Lars Linsen, Jacobs Universität Bremen gGmbH (Germany)

  • Zhanping Liu, Kentucky State University (United States)

  • Aidong Lu, The University of North Carolina at Charlotte (United States)

  • Richard May, Pacific Northwest National Laboratory (United States)

  • Harald Obermaier, University of California, Davis (United States)

  • Donald A. Pellegrino, The Dow Chemical Company (United States)

  • Theresa-Marie Rhyne, Computer Graphics and E-Learning (United States)

  • Tobias Schreck, Universität Konstanz (Germany)

  • Chad A. Steed, Oak Ridge National Laboratory (United States)

  • Kalpathi R. Subramanian, The University of North Carolina at Charlotte (United States)

  • Shigeo Takahashi, The University of Tokyo (Japan)

  • Chaoli Wang, Michigan Technological University (United States)

  • Ming-Hsuan Yang, University of California, Merced (United States)

  • Caroline Ziemkiewicz, Brown University (United States)

Session Chairs

  • 1 Biomedical Visualization

    Thomas Wischgoll, Wright State University (United States)

  • 2 Cyber Security and Visualization

    Thomas Wischgoll, Wright State University (United States)

  • 3 Text Data Mining and Visualization

    Ming C. Hao, Hewlett-Packard Laboratories (United States)

  • 4 Web-Based Visualization

    Ming C. Hao, Hewlett-Packard Laboratories (United States)

    Keynote Session I

    Pak Chung Wong, Pacific Northwest National Laboratory (United States)

  • 5 Machine Learning and Data Mining

    Pak Chung Wong, Pacific Northwest National Laboratory (United States)

    Poster Fast Forward I

    David L. Kao, NASA Ames Research Center (United States)

  • 6 User Interface and Interaction

    Ming C. Hao, Hewlett-Packard Laboratories (United States)

  • 7 Time Series Data Visualization and Analysis

    Ming C. Hao, Hewlett-Packard Laboratories (United States)

    Keynote Session II

    Pak Chung Wong, Pacific Northwest National Laboratory (United States)

  • 8 Multidimensional Data Visualization

    Pak Chung Wong, Pacific Northwest National Laboratory (United States)

    Poster Fast Forward II

    Christopher D. Shaw, Simon Fraser University (Canada)

  • 9 Abstract Rendering and Visualization

    David L. Kao, NASA Ames Research Center (United States)

  • 10 Flow Visualization

    David L. Kao, NASA Ames Research Center (United States)

Introduction

VDA 2014 is the 21st annual IS&T/SPIE Conference on Visualization and Analysis. VDA covers all R&D and application aspects of data visualization and visual analytics. This year the conference is held in conjunction with IS&T/SPIE Electronic Imaging (EI) 2014 Symposium at the Hilton San Francisco in Union Square, San Francisco, CA from February 3 to February 5, 2014.

The conference is organized by four chairs (Pak Chung Wong, David L. Kao, Ming C. Hao, and Chaomei Chen) and four co-chairs (Christopher G. Healey, Mark A. Livingston, Ian Roberts, and Thomas Wischgoll). David Kao and Ming Hao serve as the paper chairs and Chaomei Chen serves as the best paper chair. Ian Roberts manages the VDA conference website at http://vda-conference.org. The entire conference committee supports all aspects of conference organizing activities including paper review, publicity and sponsorship development, and keynote speaker invitation.

VDA 2014 received 34 submissions from around the world. Each submission received at least three peer reviews. The two paper chairs examined the reviewers’ comments and selected 20 manuscripts as full papers for conference presentation. The best paper chair independently selected the five best conference papers from the accepted full papers. A special issue of extended versions of the best papers will be published in a major data visualization journal, Information Visualization (IVI). The five best VDA 2014 papers are:

  • 1. [9017-4] Configurable IP-space maps for large-scale, multi-source network data visual analysis and correlation

  • 2. [9017-10] User-driven sampling strategies in image exploitation

  • 3. [9017-12] Visualization of off-screen data on tablets using context-providing bar graphs and scatter plots

  • 4. [9017-15] Relating interesting quantitative time series patterns with text events and text features

  • 5. [9017-18] Visual abstraction of complex motion patterns

The conference also accepted 12 poster papers for interactive presentation on Tuesday evening from 5:30pm to 6:45pm.

The conference program for this year includes two keynote addresses on Monday and Tuesday. The two keynote speakers are Dr. Pak Chung Wong of Pacific Northwest National Laboratory and Dr. Eser Kandogan of IBM Alameda Research Center. Wong’s presentation will focus on cybersecurity visualization, and Kandogan’s presentation will address “just-in-time visual analytics.”

We acknowledge Kitware, SPIE, and an anonymous IT company for sponsoring the conference. We also thank the paper and poster authors, program committee members, and paper reviewers for their hard work to make the conference a success. Finally, we gratefully acknowledge the support of IS&T/SPIE staff for their tireless support of the conference.

Pak Chung Wong

David L. Kao

Ming C. Hao

Chaomei Chen

© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 9017", Proc. SPIE 9017, Visualization and Data Analysis 2014, 901701 (3 February 2014); doi: 10.1117/12.2052776; https://doi.org/10.1117/12.2052776
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